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Gross national income, football workers and national football team performances: A logistic regression analysis

机译:国民总收入,足球工作者和国家橄榄球队的表现:逻辑回归分析

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Purpose - This study aims to examine the association between national economic prosperity (measured by per capita gross national income - GNI) and the acquisition of football workers (indicated by number of amateur footballers, football officials and professional footballers) and predict football performances (specified by qualifications at continental football championships) based on per capita GNI and football workers. Design/methodology/approach - Archival data of 203 national football teams were utilized based on continental football championship records before 2014. Binary logistic regression analysis was used to build various models to ascertain their predictive values. Economically prosperous nations are those with a per capita GNI of more than US$10,000, and unprosperous nations are those with per capita GNI of less than US$10,000. Findings - The analysis indicated that per capita GNI was significantly and positively associated with the acquisition of football workers - but not predictive of football performance. Rather football officials and professionals emerged to be the key predictors of football performance and not per capita GNI. The final model predicted 73.1 and 74.2 per cent of performance and non-performance, respectively, of national football teams correctly. Research limitations - The findings were largely restricted to quantitative archival data for the last continental championships. However, future research may benefit from using qualitative interviews, questionnaires and or ethnographic studies of players, teams and or managers. Practical implications - The results revealed that economic prosperity positively influences the acquisition of football resources (here - in football workers). Specifically, targeted production of football workers, such as the acquisition of a large number of effective professional footballers and officials, can boost football performance - and not merely economic prosperity. Originality/value - Actual football-specific human capital (and not general population) was used in predicting continental football qualifications - a factor uncommon in such studies.
机译:目的-这项研究旨在研究国民经济繁荣(以人均国民总收入(GNI)衡量)与获得足球工作者(由业余足球运动员,足球官员和职业足球运动员的数量表示)之间的关联,并预测足球表现(指定(根据大陆足球锦标赛的资格),以人均国民总收入和足球工作者为依据。设计/方法/方法-根据2014年之前的洲际足球冠军记录,使用了203支国家橄榄球队的档案数据。使用二进制逻辑回归分析建立了各种模型来确定其预测价值。人均国民总收入超过10,000美元的国家是经济上繁荣的国家,人均国民总收入少于10,000美元的国家是经济不发达的国家。调查结果-分析表明,人均国民总收入与获得足球工作者有显着正相关关系,但不能预测足球表现。相反,足球官员和专业人士已成为衡量足球表现的关键指标,而不是人均国民总收入。最终模型正确预测了国家足球队分别有73.1%和74.2%的表现。研究局限性-研究结果主要限于最近一次欧锦赛的定量档案数据。但是,未来的研究可能会受益于对参与者,团队和/或经理的定性访谈,问卷调查和/或人种学研究。实际意义-结果表明,经济繁荣对足球资源的获取(在这里-足球工作者)产生了积极影响。具体而言,有针对性的足球工作者生产,例如收购大量有效的职业足球运动员和官员,不仅可以促进经济繁荣,还可以提高足球表现。原创性/价值-实际足球专用的人力资本(而非一般人口)用于预测洲际足球资格-在此类研究中并不常见。

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